双通道数据拼接技术能有效地增大激光雷达系统的动态探测范围, 改善大气回波信号的信噪比。提出了一种基于非支配排序遗传算法II(NSGA-II)与邻域粗糙集(NRS)的大气遥感激光雷达数据拼接智能算法, 即NRSWNSGA-II, 提高了数据拼接的准确性和稳定性。该算法以三个判断双通道数据拟合优度的评价函数为优化目标, 通过NSGA-II获得评价函数的Pareto最优解集, 进而利用NRS训练数据样本得到的权重进行线性规划, 实现了最优拟合范围内的全局随机搜索。实验结果表明, 所提算法拼接效果良好并在全天性数据拼接工作中有较好的稳定性。

Two-channel data gluing technology can extend the dynamic detection range of lidar system effectively and improve the signal to noise ratio of atmospheric echo signal. A lidar data gluing technology based on the non-dominated sorting genetic algorithm II (NSGA-II) and neighborhood rough set (NRS) is proposed to improve the accuracy and stability of data gluing. Three evaluation functions determining goodness of fitting are taken as objective functions and the Pareto optimal solution set is acquired by NSGA-II. The weight which is acquired by NRS is applied to accomplishing the global random searching for the best fitting range. The experimental results show that the proposed algorithm has a favorable gluing result and works steadily in gluing tasks all day.